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<div class="title">vector.hpp File Reference</div> </div>
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<p>The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations such as norms and inner products are located in <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">linalg/vector_operations.hpp</a>.
<a href="#details">More...</a></p>
<div class="textblock"><code>#include "<a class="el" href="forwards_8h_source.html">viennacl/forwards.h</a>"</code><br/>
<code>#include "<a class="el" href="vector__def_8hpp_source.html">viennacl/detail/vector_def.hpp</a>"</code><br/>
<code>#include "<a class="el" href="memory_8hpp_source.html">viennacl/backend/memory.hpp</a>"</code><br/>
<code>#include "<a class="el" href="scalar_8hpp_source.html">viennacl/scalar.hpp</a>"</code><br/>
<code>#include "<a class="el" href="tools_8hpp_source.html">viennacl/tools/tools.hpp</a>"</code><br/>
<code>#include "<a class="el" href="entry__proxy_8hpp_source.html">viennacl/tools/entry_proxy.hpp</a>"</code><br/>
<code>#include "<a class="el" href="op__executor_8hpp_source.html">viennacl/linalg/detail/op_executor.hpp</a>"</code><br/>
<code>#include "<a class="el" href="vector__operations_8hpp_source.html">viennacl/linalg/vector_operations.hpp</a>"</code><br/>
<code>#include "<a class="el" href="result__of_8hpp_source.html">viennacl/meta/result_of.hpp</a>"</code><br/>
<code>#include "<a class="el" href="context_8hpp_source.html">viennacl/context.hpp</a>"</code><br/>
<code>#include "<a class="el" href="traits_2handle_8hpp_source.html">viennacl/traits/handle.hpp</a>"</code><br/>
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<p><a href="vector_8hpp_source.html">Go to the source code of this file.</a></p>
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<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">An expression template class that represents a binary operation that yields a vector. <a href="classviennacl_1_1vector__expression.html#details">More...</a><br/></td></tr>
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<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">A STL-type const-iterator for vector elements. Elements can be accessed, but cannot be manipulated. VERY SLOW!! <a href="classviennacl_1_1const__vector__iterator.html#details">More...</a><br/></td></tr>
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<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">A STL-type iterator for vector elements. Elements can be accessed and manipulated. VERY SLOW!! <a href="classviennacl_1_1vector__iterator.html#details">More...</a><br/></td></tr>
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Functions</h2></td></tr>
<tr class="memitem:a18c575b08038eb6af18fe1b89e4022ba"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:a18c575b08038eb6af18fe1b89e4022ba"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a18c575b08038eb6af18fe1b89e4022ba">viennacl::tie</a> (vector_base< ScalarT > const &v0, vector_base< ScalarT > const &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>)</td></tr>
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<tr class="memitem:ab25260434dfe3c4c527fd2a9ae437685"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:ab25260434dfe3c4c527fd2a9ae437685"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ab25260434dfe3c4c527fd2a9ae437685">viennacl::tie</a> (vector_base< ScalarT > &v0, vector_base< ScalarT > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>)</td></tr>
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<tr class="memitem:aee58be5508bb77871fc653aa8b33f3e2"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:aee58be5508bb77871fc653aa8b33f3e2"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#aee58be5508bb77871fc653aa8b33f3e2">viennacl::tie</a> (vector_base< ScalarT > const &v0, vector_base< ScalarT > const &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, vector_base< ScalarT > const &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>)</td></tr>
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<tr class="memitem:a56eeda7139441461f48c7303ad1b4b44"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:a56eeda7139441461f48c7303ad1b4b44"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a56eeda7139441461f48c7303ad1b4b44">viennacl::tie</a> (vector_base< ScalarT > &v0, vector_base< ScalarT > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, vector_base< ScalarT > &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>)</td></tr>
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<tr class="memitem:ae7d28ebaf25043e36652c5ef210d405a"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:ae7d28ebaf25043e36652c5ef210d405a"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ae7d28ebaf25043e36652c5ef210d405a">viennacl::tie</a> (vector_base< ScalarT > const &v0, vector_base< ScalarT > const &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, vector_base< ScalarT > const &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>, vector_base< ScalarT > const &v3)</td></tr>
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<tr class="memitem:a0250b6a52a40df48e3ee18f1db6e4747"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:a0250b6a52a40df48e3ee18f1db6e4747"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a0250b6a52a40df48e3ee18f1db6e4747">viennacl::tie</a> (vector_base< ScalarT > &v0, vector_base< ScalarT > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, vector_base< ScalarT > &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>, vector_base< ScalarT > &v3)</td></tr>
<tr class="separator:a0250b6a52a40df48e3ee18f1db6e4747"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8e40b38f92dd9f2b23f8fa134da43204"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:a8e40b38f92dd9f2b23f8fa134da43204"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a8e40b38f92dd9f2b23f8fa134da43204">viennacl::tie</a> (vector_base< ScalarT > const &v0, vector_base< ScalarT > const &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, vector_base< ScalarT > const &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>, vector_base< ScalarT > const &v3, vector_base< ScalarT > const &v4)</td></tr>
<tr class="separator:a8e40b38f92dd9f2b23f8fa134da43204"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac96d28a81e8e227f2678360fbdd92ae1"><td class="memTemplParams" colspan="2">template<typename ScalarT > </td></tr>
<tr class="memitem:ac96d28a81e8e227f2678360fbdd92ae1"><td class="memTemplItemLeft" align="right" valign="top">vector_tuple< ScalarT > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ac96d28a81e8e227f2678360fbdd92ae1">viennacl::tie</a> (vector_base< ScalarT > &v0, vector_base< ScalarT > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, vector_base< ScalarT > &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>, vector_base< ScalarT > &v3, vector_base< ScalarT > &v4)</td></tr>
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<tr class="memitem:a5a958e9ed4987dfc5cbd784b84f91d01"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV, typename CPU_ITERATOR > </td></tr>
<tr class="memitem:a5a958e9ed4987dfc5cbd784b84f91d01"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a5a958e9ed4987dfc5cbd784b84f91d01">viennacl::fast_copy</a> (const const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_begin, const const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_end, CPU_ITERATOR cpu_begin)</td></tr>
<tr class="memdesc:a5a958e9ed4987dfc5cbd784b84f91d01"><td class="mdescLeft"> </td><td class="mdescRight">STL-like transfer of a GPU vector to the CPU. The cpu type is assumed to reside in a linear piece of memory, such as e.g. for std::vector. <a href="#a5a958e9ed4987dfc5cbd784b84f91d01">More...</a><br/></td></tr>
<tr class="separator:a5a958e9ed4987dfc5cbd784b84f91d01"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a18efe971cc5df1ca97ca63bf7565a8ed"><td class="memTemplParams" colspan="2">template<typename NumericT , typename CPUVECTOR > </td></tr>
<tr class="memitem:a18efe971cc5df1ca97ca63bf7565a8ed"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a18efe971cc5df1ca97ca63bf7565a8ed">viennacl::fast_copy</a> (vector_base< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > const &gpu_vec, CPUVECTOR &cpu_vec)</td></tr>
<tr class="memdesc:a18efe971cc5df1ca97ca63bf7565a8ed"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a gpu vector to a cpu vector. Convenience wrapper for viennacl::linalg::fast_copy(gpu_vec.begin(), gpu_vec.end(), cpu_vec.begin());. <a href="#a18efe971cc5df1ca97ca63bf7565a8ed">More...</a><br/></td></tr>
<tr class="separator:a18efe971cc5df1ca97ca63bf7565a8ed"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a26d7d74290f43e613e35d19e6f522e4f"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV, typename CPU_ITERATOR > </td></tr>
<tr class="memitem:a26d7d74290f43e613e35d19e6f522e4f"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a26d7d74290f43e613e35d19e6f522e4f">viennacl::async_copy</a> (const const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_begin, const const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_end, CPU_ITERATOR cpu_begin)</td></tr>
<tr class="memdesc:a26d7d74290f43e613e35d19e6f522e4f"><td class="mdescLeft"> </td><td class="mdescRight">Asynchronous version of <a class="el" href="namespaceviennacl.html#aaa5c8726b45bc89a523ca2fa8c42107a">fast_copy()</a>, copying data from device to host. The host iterator cpu_begin needs to reside in a linear piece of memory, such as e.g. for std::vector. <a href="#a26d7d74290f43e613e35d19e6f522e4f">More...</a><br/></td></tr>
<tr class="separator:a26d7d74290f43e613e35d19e6f522e4f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad588773086ec291f43d382f023648166"><td class="memTemplParams" colspan="2">template<typename NumericT , typename CPUVECTOR > </td></tr>
<tr class="memitem:ad588773086ec291f43d382f023648166"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ad588773086ec291f43d382f023648166">viennacl::async_copy</a> (vector_base< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > const &gpu_vec, CPUVECTOR &cpu_vec)</td></tr>
<tr class="memdesc:ad588773086ec291f43d382f023648166"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a gpu vector to a cpu vector. Convenience wrapper for viennacl::linalg::fast_copy(gpu_vec.begin(), gpu_vec.end(), cpu_vec.begin());. <a href="#ad588773086ec291f43d382f023648166">More...</a><br/></td></tr>
<tr class="separator:ad588773086ec291f43d382f023648166"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad6c98e44b7ee336fa2eb4a6312b80cd6"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV, typename CPU_ITERATOR > </td></tr>
<tr class="memitem:ad6c98e44b7ee336fa2eb4a6312b80cd6"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ad6c98e44b7ee336fa2eb4a6312b80cd6">viennacl::copy</a> (const const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_begin, const const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_end, CPU_ITERATOR cpu_begin)</td></tr>
<tr class="memdesc:ad6c98e44b7ee336fa2eb4a6312b80cd6"><td class="mdescLeft"> </td><td class="mdescRight">STL-like transfer for the entries of a GPU vector to the CPU. The cpu type does not need to lie in a linear piece of memory. <a href="#ad6c98e44b7ee336fa2eb4a6312b80cd6">More...</a><br/></td></tr>
<tr class="separator:ad6c98e44b7ee336fa2eb4a6312b80cd6"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:abba314ca5441ee215d3adc77eafe529b"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV, typename CPU_ITERATOR > </td></tr>
<tr class="memitem:abba314ca5441ee215d3adc77eafe529b"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#abba314ca5441ee215d3adc77eafe529b">viennacl::copy</a> (const vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_begin, const vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &gpu_end, CPU_ITERATOR cpu_begin)</td></tr>
<tr class="memdesc:abba314ca5441ee215d3adc77eafe529b"><td class="mdescLeft"> </td><td class="mdescRight">STL-like transfer for the entries of a GPU vector to the CPU. The cpu type does not need to lie in a linear piece of memory. <a href="#abba314ca5441ee215d3adc77eafe529b">More...</a><br/></td></tr>
<tr class="separator:abba314ca5441ee215d3adc77eafe529b"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a41d005b9f0d205c14417da3dbdaff0f7"><td class="memTemplParams" colspan="2">template<typename NumericT , typename CPUVECTOR > </td></tr>
<tr class="memitem:a41d005b9f0d205c14417da3dbdaff0f7"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a41d005b9f0d205c14417da3dbdaff0f7">viennacl::copy</a> (vector_base< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > const &gpu_vec, CPUVECTOR &cpu_vec)</td></tr>
<tr class="memdesc:a41d005b9f0d205c14417da3dbdaff0f7"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a gpu vector to a cpu vector. Convenience wrapper for viennacl::linalg::copy(gpu_vec.begin(), gpu_vec.end(), cpu_vec.begin());. <a href="#a41d005b9f0d205c14417da3dbdaff0f7">More...</a><br/></td></tr>
<tr class="separator:a41d005b9f0d205c14417da3dbdaff0f7"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6c0192b3236f8f4962a208af7e139e22"><td class="memTemplParams" colspan="2">template<typename CPU_ITERATOR , typename NumericT , unsigned int AlignmentV> </td></tr>
<tr class="memitem:a6c0192b3236f8f4962a208af7e139e22"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a6c0192b3236f8f4962a208af7e139e22">viennacl::fast_copy</a> (CPU_ITERATOR const &cpu_begin, CPU_ITERATOR const &cpu_end, vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > gpu_begin)</td></tr>
<tr class="memdesc:a6c0192b3236f8f4962a208af7e139e22"><td class="mdescLeft"> </td><td class="mdescRight">STL-like transfer of a CPU vector to the GPU. The cpu type is assumed to reside in a linear piece of memory, such as e.g. for std::vector. <a href="#a6c0192b3236f8f4962a208af7e139e22">More...</a><br/></td></tr>
<tr class="separator:a6c0192b3236f8f4962a208af7e139e22"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a19621895b23c45e932e4ce15d947b311"><td class="memTemplParams" colspan="2">template<typename CPUVECTOR , typename NumericT > </td></tr>
<tr class="memitem:a19621895b23c45e932e4ce15d947b311"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a19621895b23c45e932e4ce15d947b311">viennacl::fast_copy</a> (const CPUVECTOR &cpu_vec, vector_base< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > &gpu_vec)</td></tr>
<tr class="memdesc:a19621895b23c45e932e4ce15d947b311"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a cpu vector to a gpu vector. Convenience wrapper for viennacl::linalg::fast_copy(cpu_vec.begin(), cpu_vec.end(), gpu_vec.begin());. <a href="#a19621895b23c45e932e4ce15d947b311">More...</a><br/></td></tr>
<tr class="separator:a19621895b23c45e932e4ce15d947b311"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a78227cb6e54e83e2db36ee870773a87d"><td class="memTemplParams" colspan="2">template<typename CPU_ITERATOR , typename NumericT , unsigned int AlignmentV> </td></tr>
<tr class="memitem:a78227cb6e54e83e2db36ee870773a87d"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a78227cb6e54e83e2db36ee870773a87d">viennacl::async_copy</a> (CPU_ITERATOR const &cpu_begin, CPU_ITERATOR const &cpu_end, vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > gpu_begin)</td></tr>
<tr class="memdesc:a78227cb6e54e83e2db36ee870773a87d"><td class="mdescLeft"> </td><td class="mdescRight">Asynchronous version of <a class="el" href="namespaceviennacl.html#aaa5c8726b45bc89a523ca2fa8c42107a">fast_copy()</a>, copying data from host to device. The host iterator cpu_begin needs to reside in a linear piece of memory, such as e.g. for std::vector. <a href="#a78227cb6e54e83e2db36ee870773a87d">More...</a><br/></td></tr>
<tr class="separator:a78227cb6e54e83e2db36ee870773a87d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aaac9f2de1a2a22c01d1993b2e28f16d9"><td class="memTemplParams" colspan="2">template<typename CPUVECTOR , typename NumericT > </td></tr>
<tr class="memitem:aaac9f2de1a2a22c01d1993b2e28f16d9"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#aaac9f2de1a2a22c01d1993b2e28f16d9">viennacl::async_copy</a> (const CPUVECTOR &cpu_vec, vector_base< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > &gpu_vec)</td></tr>
<tr class="memdesc:aaac9f2de1a2a22c01d1993b2e28f16d9"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a cpu vector to a gpu vector. Convenience wrapper for viennacl::linalg::fast_copy(cpu_vec.begin(), cpu_vec.end(), gpu_vec.begin());. <a href="#aaac9f2de1a2a22c01d1993b2e28f16d9">More...</a><br/></td></tr>
<tr class="separator:aaac9f2de1a2a22c01d1993b2e28f16d9"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a40d083febe39561a435e4972b2d8db1d"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV, typename CPU_ITERATOR > </td></tr>
<tr class="memitem:a40d083febe39561a435e4972b2d8db1d"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a40d083febe39561a435e4972b2d8db1d">viennacl::copy</a> (CPU_ITERATOR const &cpu_begin, CPU_ITERATOR const &cpu_end, vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > gpu_begin)</td></tr>
<tr class="memdesc:a40d083febe39561a435e4972b2d8db1d"><td class="mdescLeft"> </td><td class="mdescRight">STL-like transfer for the entries of a GPU vector to the CPU. The cpu type does not need to lie in a linear piece of memory. <a href="#a40d083febe39561a435e4972b2d8db1d">More...</a><br/></td></tr>
<tr class="separator:a40d083febe39561a435e4972b2d8db1d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a644f179cf3142e732c3c57155d73609a"><td class="memTemplParams" colspan="2">template<typename HostVectorT , typename T > </td></tr>
<tr class="memitem:a644f179cf3142e732c3c57155d73609a"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a644f179cf3142e732c3c57155d73609a">viennacl::copy</a> (HostVectorT const &cpu_vec, vector_base< T > &gpu_vec)</td></tr>
<tr class="memdesc:a644f179cf3142e732c3c57155d73609a"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a host vector object to a ViennaCL vector proxy. Requires the vector proxy to have the necessary size. Convenience wrapper for viennacl::linalg::copy(cpu_vec.begin(), cpu_vec.end(), gpu_vec.begin());. <a href="#a644f179cf3142e732c3c57155d73609a">More...</a><br/></td></tr>
<tr class="separator:a644f179cf3142e732c3c57155d73609a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1180fcee62a05d6ec83caf121ee066a5"><td class="memTemplParams" colspan="2">template<typename HostVectorT , typename T , unsigned int AlignmentV> </td></tr>
<tr class="memitem:a1180fcee62a05d6ec83caf121ee066a5"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a1180fcee62a05d6ec83caf121ee066a5">viennacl::copy</a> (HostVectorT const &cpu_vec, vector< T, AlignmentV > &gpu_vec)</td></tr>
<tr class="memdesc:a1180fcee62a05d6ec83caf121ee066a5"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a host vector object to a ViennaCL vector. Resizes the ViennaCL vector if it has zero size. Convenience wrapper for viennacl::linalg::copy(cpu_vec.begin(), cpu_vec.end(), gpu_vec.begin());. <a href="#a1180fcee62a05d6ec83caf121ee066a5">More...</a><br/></td></tr>
<tr class="separator:a1180fcee62a05d6ec83caf121ee066a5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1255fc3e9f9e4d920310e23e19ac0144"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV_SRC, unsigned int AlignmentV_DEST> </td></tr>
<tr class="memitem:a1255fc3e9f9e4d920310e23e19ac0144"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a1255fc3e9f9e4d920310e23e19ac0144">viennacl::copy</a> (const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_SRC > const &gpu_src_begin, const_vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_SRC > const &gpu_src_end, vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_DEST > gpu_dest_begin)</td></tr>
<tr class="memdesc:a1255fc3e9f9e4d920310e23e19ac0144"><td class="mdescLeft"> </td><td class="mdescRight">Copy (parts of a) GPU vector to another GPU vector. <a href="#a1255fc3e9f9e4d920310e23e19ac0144">More...</a><br/></td></tr>
<tr class="separator:a1255fc3e9f9e4d920310e23e19ac0144"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:af2540759a464fce64f568ea509d85e24"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV_SRC, unsigned int AlignmentV_DEST> </td></tr>
<tr class="memitem:af2540759a464fce64f568ea509d85e24"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#af2540759a464fce64f568ea509d85e24">viennacl::copy</a> (vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_SRC > const &gpu_src_begin, vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_SRC > const &gpu_src_end, vector_iterator< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_DEST > gpu_dest_begin)</td></tr>
<tr class="memdesc:af2540759a464fce64f568ea509d85e24"><td class="mdescLeft"> </td><td class="mdescRight">Copy (parts of a) GPU vector to another GPU vector. <a href="#af2540759a464fce64f568ea509d85e24">More...</a><br/></td></tr>
<tr class="separator:af2540759a464fce64f568ea509d85e24"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a4e7fbf624c47329c1a37ba7eef778262"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV_SRC, unsigned int AlignmentV_DEST> </td></tr>
<tr class="memitem:a4e7fbf624c47329c1a37ba7eef778262"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a4e7fbf624c47329c1a37ba7eef778262">viennacl::copy</a> (vector< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_SRC > const &gpu_src_vec, vector< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV_DEST > &gpu_dest_vec)</td></tr>
<tr class="memdesc:a4e7fbf624c47329c1a37ba7eef778262"><td class="mdescLeft"> </td><td class="mdescRight">Transfer from a ViennaCL vector to another ViennaCL vector. Convenience wrapper for viennacl::linalg::copy(gpu_src_vec.begin(), gpu_src_vec.end(), gpu_dest_vec.begin());. <a href="#a4e7fbf624c47329c1a37ba7eef778262">More...</a><br/></td></tr>
<tr class="separator:a4e7fbf624c47329c1a37ba7eef778262"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab305fb97f519cb1280277cf830e3dfce"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:ab305fb97f519cb1280277cf830e3dfce"><td class="memTemplItemLeft" align="right" valign="top">std::ostream & </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ab305fb97f519cb1280277cf830e3dfce">viennacl::operator<<</a> (std::ostream &os, vector_base< T > const &val)</td></tr>
<tr class="memdesc:ab305fb97f519cb1280277cf830e3dfce"><td class="mdescLeft"> </td><td class="mdescRight">Output stream. Output format is ublas compatible. <a href="#ab305fb97f519cb1280277cf830e3dfce">More...</a><br/></td></tr>
<tr class="separator:ab305fb97f519cb1280277cf830e3dfce"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a21669e48cbc9c19811088f65b1162c1c"><td class="memTemplParams" colspan="2">template<typename LHS , typename RHS , typename OP > </td></tr>
<tr class="memitem:a21669e48cbc9c19811088f65b1162c1c"><td class="memTemplItemLeft" align="right" valign="top">std::ostream & </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a21669e48cbc9c19811088f65b1162c1c">viennacl::operator<<</a> (std::ostream &os, vector_expression< LHS, RHS, OP > const &proxy)</td></tr>
<tr class="separator:a21669e48cbc9c19811088f65b1162c1c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a49233dc20718f52e98e8b06e9711b375"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a49233dc20718f52e98e8b06e9711b375"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a49233dc20718f52e98e8b06e9711b375">viennacl::swap</a> (vector_base< T > &vec1, vector_base< T > &vec2)</td></tr>
<tr class="memdesc:a49233dc20718f52e98e8b06e9711b375"><td class="mdescLeft"> </td><td class="mdescRight">Swaps the contents of two vectors, data is copied. <a href="#a49233dc20718f52e98e8b06e9711b375">More...</a><br/></td></tr>
<tr class="separator:a49233dc20718f52e98e8b06e9711b375"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a495321f19d07b98a5ba433332cb590da"><td class="memTemplParams" colspan="2">template<typename NumericT , unsigned int AlignmentV> </td></tr>
<tr class="memitem:a495321f19d07b98a5ba433332cb590da"><td class="memTemplItemLeft" align="right" valign="top">vector< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > & </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a495321f19d07b98a5ba433332cb590da">viennacl::fast_swap</a> (vector< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, vector< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>)</td></tr>
<tr class="memdesc:a495321f19d07b98a5ba433332cb590da"><td class="mdescLeft"> </td><td class="mdescRight">Swaps the content of two vectors by swapping OpenCL handles only, NO data is copied. <a href="#a495321f19d07b98a5ba433332cb590da">More...</a><br/></td></tr>
<tr class="separator:a495321f19d07b98a5ba433332cb590da"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad54c9bbd40b29f875b0068db0fc194a5"><td class="memTemplParams" colspan="2">template<typename T , typename S1 > </td></tr>
<tr class="memitem:ad54c9bbd40b29f875b0068db0fc194a5"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, vector_base< T ><br class="typebreak"/>
& >::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ad54c9bbd40b29f875b0068db0fc194a5">viennacl::operator*=</a> (vector_base< T > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, S1 const &gpu_val)</td></tr>
<tr class="memdesc:ad54c9bbd40b29f875b0068db0fc194a5"><td class="mdescLeft"> </td><td class="mdescRight">Scales this vector by a GPU scalar value. <a href="#ad54c9bbd40b29f875b0068db0fc194a5">More...</a><br/></td></tr>
<tr class="separator:ad54c9bbd40b29f875b0068db0fc194a5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a4e8d4647a330937c4cc44359b8ec8f52"><td class="memTemplParams" colspan="2">template<typename T , typename S1 > </td></tr>
<tr class="memitem:a4e8d4647a330937c4cc44359b8ec8f52"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, vector_base< T ><br class="typebreak"/>
& >::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a4e8d4647a330937c4cc44359b8ec8f52">viennacl::operator/=</a> (vector_base< T > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, S1 const &gpu_val)</td></tr>
<tr class="memdesc:a4e8d4647a330937c4cc44359b8ec8f52"><td class="mdescLeft"> </td><td class="mdescRight">Scales this vector by a GPU scalar value. <a href="#a4e8d4647a330937c4cc44359b8ec8f52">More...</a><br/></td></tr>
<tr class="separator:a4e8d4647a330937c4cc44359b8ec8f52"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab99420063bb11e696007951f6c3208fd"><td class="memTemplParams" colspan="2">template<typename LHS1 , typename RHS1 , typename OP1 , typename LHS2 , typename RHS2 , typename OP2 > </td></tr>
<tr class="memitem:ab99420063bb11e696007951f6c3208fd"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_expression< LHS1, RHS1, <br class="typebreak"/>
OP1 >, const vector_expression<br class="typebreak"/>
< LHS2, RHS2, OP2 ><br class="typebreak"/>
, <a class="el" href="structviennacl_1_1op__add.html">viennacl::op_add</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ab99420063bb11e696007951f6c3208fd">viennacl::operator+</a> (vector_expression< LHS1, RHS1, OP1 > const &proxy1, vector_expression< LHS2, RHS2, OP2 > const &proxy2)</td></tr>
<tr class="memdesc:ab99420063bb11e696007951f6c3208fd"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the addition of two vector expressions. <a href="#ab99420063bb11e696007951f6c3208fd">More...</a><br/></td></tr>
<tr class="separator:ab99420063bb11e696007951f6c3208fd"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a30b8516e207086b374e91ce5ca292dca"><td class="memTemplParams" colspan="2">template<typename LHS , typename RHS , typename OP , typename T > </td></tr>
<tr class="memitem:a30b8516e207086b374e91ce5ca292dca"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_expression< LHS, RHS, <br class="typebreak"/>
OP >, const vector_base< T ><br class="typebreak"/>
, <a class="el" href="structviennacl_1_1op__add.html">viennacl::op_add</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a30b8516e207086b374e91ce5ca292dca">viennacl::operator+</a> (vector_expression< LHS, RHS, OP > const &proxy, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:a30b8516e207086b374e91ce5ca292dca"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the addition of a vector expression with a vector or another vector expression. This is the default implementation for all cases that are too complex in order to be covered within a single kernel, hence a temporary vector is created. <a href="#a30b8516e207086b374e91ce5ca292dca">More...</a><br/></td></tr>
<tr class="separator:a30b8516e207086b374e91ce5ca292dca"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a789f52510dc1628aafde1fe379ca1001"><td class="memTemplParams" colspan="2">template<typename T , typename LHS , typename RHS , typename OP > </td></tr>
<tr class="memitem:a789f52510dc1628aafde1fe379ca1001"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const <br class="typebreak"/>
vector_expression< LHS, RHS, <br class="typebreak"/>
OP >, <a class="el" href="structviennacl_1_1op__add.html">viennacl::op_add</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a789f52510dc1628aafde1fe379ca1001">viennacl::operator+</a> (vector_base< T > const &vec, vector_expression< LHS, RHS, OP > const &proxy)</td></tr>
<tr class="memdesc:a789f52510dc1628aafde1fe379ca1001"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the addition of a vector with a vector expression. This is the default implementation for all cases that are too complex in order to be covered within a single kernel, hence a temporary vector is created. <a href="#a789f52510dc1628aafde1fe379ca1001">More...</a><br/></td></tr>
<tr class="separator:a789f52510dc1628aafde1fe379ca1001"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2471d058da27c2588866407382060cc0"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a2471d058da27c2588866407382060cc0"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const <br class="typebreak"/>
vector_base< T >, op_add > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a2471d058da27c2588866407382060cc0">viennacl::operator+</a> (const vector_base< T > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, const vector_base< T > &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>)</td></tr>
<tr class="memdesc:a2471d058da27c2588866407382060cc0"><td class="mdescLeft"> </td><td class="mdescRight">Returns an expression template object for adding up two vectors, i.e. v1 + v2. <a href="#a2471d058da27c2588866407382060cc0">More...</a><br/></td></tr>
<tr class="separator:a2471d058da27c2588866407382060cc0"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a0a9b799cd9d2b4ae4376c5216d5ac93f"><td class="memTemplParams" colspan="2">template<typename LHS1 , typename RHS1 , typename OP1 , typename LHS2 , typename RHS2 , typename OP2 > </td></tr>
<tr class="memitem:a0a9b799cd9d2b4ae4376c5216d5ac93f"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_expression< LHS1, RHS1, <br class="typebreak"/>
OP1 >, const vector_expression<br class="typebreak"/>
< LHS2, RHS2, OP2 ><br class="typebreak"/>
, <a class="el" href="structviennacl_1_1op__sub.html">viennacl::op_sub</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a0a9b799cd9d2b4ae4376c5216d5ac93f">viennacl::operator-</a> (vector_expression< LHS1, RHS1, OP1 > const &proxy1, vector_expression< LHS2, RHS2, OP2 > const &proxy2)</td></tr>
<tr class="memdesc:a0a9b799cd9d2b4ae4376c5216d5ac93f"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the subtraction of two vector expressions. <a href="#a0a9b799cd9d2b4ae4376c5216d5ac93f">More...</a><br/></td></tr>
<tr class="separator:a0a9b799cd9d2b4ae4376c5216d5ac93f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad7dc7568bb713236e55439611520a74d"><td class="memTemplParams" colspan="2">template<typename LHS , typename RHS , typename OP , typename T > </td></tr>
<tr class="memitem:ad7dc7568bb713236e55439611520a74d"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_expression< LHS, RHS, <br class="typebreak"/>
OP >, const vector_base< T ><br class="typebreak"/>
, <a class="el" href="structviennacl_1_1op__sub.html">viennacl::op_sub</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ad7dc7568bb713236e55439611520a74d">viennacl::operator-</a> (vector_expression< LHS, RHS, OP > const &proxy, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:ad7dc7568bb713236e55439611520a74d"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the subtraction of a vector expression with a vector or another vector expression. This is the default implementation for all cases that are too complex in order to be covered within a single kernel, hence a temporary vector is created. <a href="#ad7dc7568bb713236e55439611520a74d">More...</a><br/></td></tr>
<tr class="separator:ad7dc7568bb713236e55439611520a74d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a46d0f226493902ad3c4cf69eb05b3f48"><td class="memTemplParams" colspan="2">template<typename T , typename LHS , typename RHS , typename OP > </td></tr>
<tr class="memitem:a46d0f226493902ad3c4cf69eb05b3f48"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const <br class="typebreak"/>
vector_expression< LHS, RHS, <br class="typebreak"/>
OP >, <a class="el" href="structviennacl_1_1op__sub.html">viennacl::op_sub</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a46d0f226493902ad3c4cf69eb05b3f48">viennacl::operator-</a> (vector_base< T > const &vec, vector_expression< LHS, RHS, OP > const &proxy)</td></tr>
<tr class="memdesc:a46d0f226493902ad3c4cf69eb05b3f48"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the subtraction of a vector expression with a vector or another vector expression. This is the default implementation for all cases that are too complex in order to be covered within a single kernel, hence a temporary vector is created. <a href="#a46d0f226493902ad3c4cf69eb05b3f48">More...</a><br/></td></tr>
<tr class="separator:a46d0f226493902ad3c4cf69eb05b3f48"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab2a0eb807884794e795aec5ec78353a4"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:ab2a0eb807884794e795aec5ec78353a4"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const <br class="typebreak"/>
vector_base< T >, op_sub > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ab2a0eb807884794e795aec5ec78353a4">viennacl::operator-</a> (const vector_base< T > &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, const vector_base< T > &<a class="el" href="global__variables_8cpp.html#a9b48d95dbfbe8e26ae8911c753406d37">v2</a>)</td></tr>
<tr class="memdesc:ab2a0eb807884794e795aec5ec78353a4"><td class="mdescLeft"> </td><td class="mdescRight">Returns an expression template object for subtracting two vectors, i.e. v1 - v2. <a href="#ab2a0eb807884794e795aec5ec78353a4">More...</a><br/></td></tr>
<tr class="separator:ab2a0eb807884794e795aec5ec78353a4"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5f3c224d905d0e584fb72e566ed64977"><td class="memTemplParams" colspan="2">template<typename S1 , typename T > </td></tr>
<tr class="memitem:a5f3c224d905d0e584fb72e566ed64977"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, vector_expression<br class="typebreak"/>
< const vector_base< T ><br class="typebreak"/>
, const S1, op_mult > >::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a5f3c224d905d0e584fb72e566ed64977">viennacl::operator*</a> (S1 const &value, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:a5f3c224d905d0e584fb72e566ed64977"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a host scalar (float or double) and v1 is a ViennaCL vector. <a href="#a5f3c224d905d0e584fb72e566ed64977">More...</a><br/></td></tr>
<tr class="separator:a5f3c224d905d0e584fb72e566ed64977"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1aa648c88a546872e66f73ae6b6f8c84"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a1aa648c88a546872e66f73ae6b6f8c84"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const T, <br class="typebreak"/>
op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a1aa648c88a546872e66f73ae6b6f8c84">viennacl::operator*</a> (char value, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:a1aa648c88a546872e66f73ae6b6f8c84"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a char. <a href="#a1aa648c88a546872e66f73ae6b6f8c84">More...</a><br/></td></tr>
<tr class="separator:a1aa648c88a546872e66f73ae6b6f8c84"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5f6a0765c929401a06741a1c837a7af3"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a5f6a0765c929401a06741a1c837a7af3"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const T, <br class="typebreak"/>
op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a5f6a0765c929401a06741a1c837a7af3">viennacl::operator*</a> (short value, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:a5f6a0765c929401a06741a1c837a7af3"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a short. <a href="#a5f6a0765c929401a06741a1c837a7af3">More...</a><br/></td></tr>
<tr class="separator:a5f6a0765c929401a06741a1c837a7af3"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a53f54b5071fc459f13261a08c0ea6ee5"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a53f54b5071fc459f13261a08c0ea6ee5"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const T, <br class="typebreak"/>
op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a53f54b5071fc459f13261a08c0ea6ee5">viennacl::operator*</a> (int value, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:a53f54b5071fc459f13261a08c0ea6ee5"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a int. <a href="#a53f54b5071fc459f13261a08c0ea6ee5">More...</a><br/></td></tr>
<tr class="separator:a53f54b5071fc459f13261a08c0ea6ee5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a902d3e1f3473a758e15b232f07e7b11e"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a902d3e1f3473a758e15b232f07e7b11e"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const T, <br class="typebreak"/>
op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a902d3e1f3473a758e15b232f07e7b11e">viennacl::operator*</a> (long value, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:a902d3e1f3473a758e15b232f07e7b11e"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a long. <a href="#a902d3e1f3473a758e15b232f07e7b11e">More...</a><br/></td></tr>
<tr class="separator:a902d3e1f3473a758e15b232f07e7b11e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a7b11d21434d517b5c4d8603493932d4a"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a7b11d21434d517b5c4d8603493932d4a"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const T, <br class="typebreak"/>
op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a7b11d21434d517b5c4d8603493932d4a">viennacl::operator*</a> (float value, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:a7b11d21434d517b5c4d8603493932d4a"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a float. <a href="#a7b11d21434d517b5c4d8603493932d4a">More...</a><br/></td></tr>
<tr class="separator:a7b11d21434d517b5c4d8603493932d4a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab2c30c728d36beb46da292e2a3aad436"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:ab2c30c728d36beb46da292e2a3aad436"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const T, <br class="typebreak"/>
op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ab2c30c728d36beb46da292e2a3aad436">viennacl::operator*</a> (double value, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:ab2c30c728d36beb46da292e2a3aad436"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a double. <a href="#ab2c30c728d36beb46da292e2a3aad436">More...</a><br/></td></tr>
<tr class="separator:ab2c30c728d36beb46da292e2a3aad436"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac34b0528ba9cb2a8e586a64bafc3a1b1"><td class="memTemplParams" colspan="2">template<typename LHS , typename RHS , typename OP , typename T > </td></tr>
<tr class="memitem:ac34b0528ba9cb2a8e586a64bafc3a1b1"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const <br class="typebreak"/>
scalar_expression< LHS, RHS, <br class="typebreak"/>
OP >, op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ac34b0528ba9cb2a8e586a64bafc3a1b1">viennacl::operator*</a> (scalar_expression< LHS, RHS, OP > const &expr, vector_base< T > const &vec)</td></tr>
<tr class="memdesc:ac34b0528ba9cb2a8e586a64bafc3a1b1"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the expression alpha * v1, where alpha is a scalar expression and v1 is a ViennaCL vector. <a href="#ac34b0528ba9cb2a8e586a64bafc3a1b1">More...</a><br/></td></tr>
<tr class="separator:ac34b0528ba9cb2a8e586a64bafc3a1b1"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a64b79b9c7e7b0c0d4e838a6a8727c34e"><td class="memTemplParams" colspan="2">template<typename T , typename S1 > </td></tr>
<tr class="memitem:a64b79b9c7e7b0c0d4e838a6a8727c34e"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, vector_expression<br class="typebreak"/>
< const vector_base< T ><br class="typebreak"/>
, const S1, op_mult > >::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a64b79b9c7e7b0c0d4e838a6a8727c34e">viennacl::operator*</a> (vector_base< T > const &vec, S1 const &value)</td></tr>
<tr class="memdesc:a64b79b9c7e7b0c0d4e838a6a8727c34e"><td class="mdescLeft"> </td><td class="mdescRight">Scales the vector by a scalar 'alpha' and returns an expression template. <a href="#a64b79b9c7e7b0c0d4e838a6a8727c34e">More...</a><br/></td></tr>
<tr class="separator:a64b79b9c7e7b0c0d4e838a6a8727c34e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a595de671ea4e3f2b0bb5eebb01458168"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a595de671ea4e3f2b0bb5eebb01458168"><td class="memTemplItemLeft" align="right" valign="top">vector_expression< const <br class="typebreak"/>
vector_base< T >, const T, <br class="typebreak"/>
op_mult > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a595de671ea4e3f2b0bb5eebb01458168">viennacl::operator*</a> (vector_base< T > const &vec, T const &value)</td></tr>
<tr class="separator:a595de671ea4e3f2b0bb5eebb01458168"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aa92923ca916177c1864962bfb1443622"><td class="memTemplParams" colspan="2">template<typename LHS , typename RHS , typename OP , typename S1 > </td></tr>
<tr class="memitem:aa92923ca916177c1864962bfb1443622"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, <br class="typebreak"/>
<a class="el" href="classviennacl_1_1vector__expression.html">viennacl::vector_expression</a><br class="typebreak"/>
< const vector_expression< LHS, <br class="typebreak"/>
RHS, OP >, const S1, op_mult ><br class="typebreak"/>
>::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#aa92923ca916177c1864962bfb1443622">viennacl::operator*</a> (vector_expression< LHS, RHS, OP > const &proxy, S1 const &val)</td></tr>
<tr class="memdesc:aa92923ca916177c1864962bfb1443622"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the multiplication of a vector expression with a scalar from the right, e.g. (beta * vec1) * alpha. Here, beta * vec1 is wrapped into a <a class="el" href="classviennacl_1_1vector__expression.html" title="An expression template class that represents a binary operation that yields a vector. ">vector_expression</a> and then multiplied with alpha from the right. <a href="#aa92923ca916177c1864962bfb1443622">More...</a><br/></td></tr>
<tr class="separator:aa92923ca916177c1864962bfb1443622"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:af9d86b7600ba400a9c865a5c23093254"><td class="memTemplParams" colspan="2">template<typename S1 , typename LHS , typename RHS , typename OP > </td></tr>
<tr class="memitem:af9d86b7600ba400a9c865a5c23093254"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, <br class="typebreak"/>
<a class="el" href="classviennacl_1_1vector__expression.html">viennacl::vector_expression</a><br class="typebreak"/>
< const vector_expression< LHS, <br class="typebreak"/>
RHS, OP >, const S1, op_mult ><br class="typebreak"/>
>::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#af9d86b7600ba400a9c865a5c23093254">viennacl::operator*</a> (S1 const &val, vector_expression< LHS, RHS, OP > const &proxy)</td></tr>
<tr class="memdesc:af9d86b7600ba400a9c865a5c23093254"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the multiplication of a vector expression with a ViennaCL scalar from the left, e.g. alpha * (beta * vec1). Here, beta * vec1 is wrapped into a <a class="el" href="classviennacl_1_1vector__expression.html" title="An expression template class that represents a binary operation that yields a vector. ">vector_expression</a> and then multiplied with alpha from the left. <a href="#af9d86b7600ba400a9c865a5c23093254">More...</a><br/></td></tr>
<tr class="separator:af9d86b7600ba400a9c865a5c23093254"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a810958ed96dd36b31993919612fa85d2"><td class="memTemplParams" colspan="2">template<typename S1 , typename LHS , typename RHS , typename OP > </td></tr>
<tr class="memitem:a810958ed96dd36b31993919612fa85d2"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, <br class="typebreak"/>
<a class="el" href="classviennacl_1_1vector__expression.html">viennacl::vector_expression</a><br class="typebreak"/>
< const vector_expression< LHS, <br class="typebreak"/>
RHS, OP >, const S1, op_div ><br class="typebreak"/>
>::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a810958ed96dd36b31993919612fa85d2">viennacl::operator/</a> (vector_expression< LHS, RHS, OP > const &proxy, S1 const &val)</td></tr>
<tr class="memdesc:a810958ed96dd36b31993919612fa85d2"><td class="mdescLeft"> </td><td class="mdescRight">Operator overload for the division of a vector expression by a scalar from the right, e.g. (beta * vec1) / alpha. Here, beta * vec1 is wrapped into a <a class="el" href="classviennacl_1_1vector__expression.html" title="An expression template class that represents a binary operation that yields a vector. ">vector_expression</a> and then divided by alpha. <a href="#a810958ed96dd36b31993919612fa85d2">More...</a><br/></td></tr>
<tr class="separator:a810958ed96dd36b31993919612fa85d2"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8af63f5e1e3c138c901f53562d22ba18"><td class="memTemplParams" colspan="2">template<typename T , typename S1 > </td></tr>
<tr class="memitem:a8af63f5e1e3c138c901f53562d22ba18"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structviennacl_1_1enable__if.html">viennacl::enable_if</a><br class="typebreak"/>
< <a class="el" href="structviennacl_1_1is__any__scalar.html">viennacl::is_any_scalar</a>< S1 ><br class="typebreak"/>
::value, vector_expression<br class="typebreak"/>
< const vector_base< T ><br class="typebreak"/>
, const S1, op_div > >::type </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a8af63f5e1e3c138c901f53562d22ba18">viennacl::operator/</a> (vector_base< T > const &<a class="el" href="global__variables_8cpp.html#a1d3b09c2337808223ca760c55bdf5414">v1</a>, S1 const &<a class="el" href="global__variables_8cpp.html#a24573a2e279db4db9228d18dfbf27eae">s1</a>)</td></tr>
<tr class="memdesc:a8af63f5e1e3c138c901f53562d22ba18"><td class="mdescLeft"> </td><td class="mdescRight">Returns an expression template for scaling the vector by a GPU scalar 'alpha'. <a href="#a8af63f5e1e3c138c901f53562d22ba18">More...</a><br/></td></tr>
<tr class="separator:a8af63f5e1e3c138c901f53562d22ba18"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations such as norms and inner products are located in <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">linalg/vector_operations.hpp</a>. </p>
<p>Definition in file <a class="el" href="vector_8hpp_source.html">vector.hpp</a>.</p>
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